Moez Baccouche

Computer Vision and Pattern Recognition · 2010–2018

A researcher in the Science corpus: 5 papers; trusts 276 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 78 citations into it; #5,200 of 21,575 by trust here, #4,584 by citations
• Artificial Intelligence — 44 citations into it; #22,624 of 35,345 by trust here, #8,210 by citations
• Model Architectures — 18 citations into it
• Optimization & Training — 10 citations into it
• Neural Architecture Search & AutoML — 9 citations into it
• Generative Models — 8 citations into it; #517 of 1,956 by trust here, #1,163 by citations

Whom Moez Baccouche trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yann LeCun
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. J. Urgen Schmidhuber
8. Ivan Laptev
9. Ilya Sutskever
10. Jimmy Ba

Who trusts Moez Baccouche overall

1. Vivek Veeriah
2. German Ignacio Parisi
3. Yong Du
4. Jue Wang
5. Arvid Lundervold
6. Yongjun Hong
7. Alexander Grushin
8. Antoine Miech
9. Fabien Baradel
10. Dilip Ravi Kiran

Papers from Moez Baccouche's perspective

Ordered by how strongly the researchers Moez Baccouche trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Sequential Deep Learning for Human Action Recognition (2011) — 814 citations
• Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks (2010) — 129 citations
• Face aging with conditional generative adversarial networks (2017) — 533 citations
• Efficient Progressive Neural Architecture Search (2018) — 44 citations
• Evaluation of video activity localizations integrating quality and quantity measurements (2014) — 82 citations